rank.normalize: Rank normalization
In xrobin/xavamess: Useful Miscellaneous Functions

Description Usage Arguments Value Examples

This function fits the data exactly to the normal distribution (or any other quantile function given as FUN) using corresponding quantiles.

1	rank.normalize(x, FUN = qnorm, ties.method = "average", na.action)

`x`	the data to normalize
`FUN`	a quantile function such as `qnorm`
`ties.method`	the `ties.method` argument for `rank`
`na.action`	a function to handle `NA`s. Defaults to the value of `options("na.action")`

the normalized data

not.normal <- rlnorm(100)
hist(not.normal)
hist(rank.normalize(not.normal))

# Different function
hist(rank.normalize(not.normal, FUN = qexp))

# Breaking ties
hist(rank.normalize(not.normal, ties.method = "random"))

# Missing values
not.normal[10] <- NA
hist(rank.normalize(not.normal)) # Shouldn't fail
## Not run: hist(rank.normalize(not.normal, na.action = na.fail)) # Should fail